Using Computational Models to Study Aging

Mc Auley, Mark; Mooney, Kathleen

Abstract

Population aging has resulted in remarkable demographic changes. The global population will soon have more older people than children and more people at extreme old age than ever before. Despite this increased longevity, many older people do not age healthily, once again highlighting the need to find new and innovative techniques of studying this highly complex phenomenon. Systems biology endeavors to understand biological systems in a holistic manner, by taking account of intrinsic interactions, while also attempting to account for the impact of external factors, such as nutrition. A key technique employed in systems biology is computational modeling. This chapter will give an account of the integrated nature of aging and why computational modeling is well placed to investigate aging.

• Online Publication Date: Apr 13, 2018
• Publication Date: Apr 13, 2018
• Deposit Date: Feb 19, 2025
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Pages: 79-91
• Edition: 2nd
• Book Title: Conn's Handbook of Models for Human Aging
• Chapter Number: 7
• ISBN: 9780128113530
• DOI: https://doi.org/10.1016/b978-0-12-811353-0.00007-5